|
|
|
|
|
Jeonghoon Lee, Jeonghyeon Choi, Jiyu Seo, Jeongeun Won and Sangdan Kim
In the context of hydrological model calibration, observational data play a central role in refining and evaluating model performance and uncertainty. Among the critical factors, the length of the data records and the associated climatic conditions are p...
ver más
|
|
|
|
|
|
|
|
|
Hong Gao, Chaomin Mu and Hui Sun
In view of the inconsistency of guided wave energy in distributed acoustic sensing coal mine maps and the difficulty in distinguishing the vibration levels of coal mines, which leads to the poor sensitivity and accuracy of microseism detection, a coal mi...
ver más
|
|
|
|
|
|
|
|
|
Huiming Wu and Sicong Guo
The switching system model of a closed-loop supply chain with Markov jump parameters is established. The system is modeled as a switching system with Markov jump parameters, taking into account the uncertainties of the process and the inventory decay fac...
ver más
|
|
|
|
|
|
|
|
|
Yuchen Jiang, Shaoming Hu, Junju Du, Xu Chen, Hai Cao, Shuqi Liu and Shuai Feng
Ground-based optical observation of GEO space debris plays an essential role in tracking, identifying, cataloging, and classifying space debris. The factors that affect the brightness of space debris include size, surface material, illumination geometry,...
ver más
|
|
|
|
|
|
|
|
|
Elie Azeraf, Emmanuel Monfrini and Wojciech Pieczynski
Practitioners have used hidden Markov models (HMMs) in different problems for about sixty years. Moreover, conditional random fields (CRFs) are an alternative to HMMs and appear in the literature as different and somewhat concurrent models. We propose tw...
ver más
|
|
|
|